Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data

arXiv:2402.08999v1 Announce Type: new
Abstract: Standardising structure volume names in radiotherapy (RT) data is necessary to enable data mining and analyses, especially across multi-institutional centres. This process is time and resource intensive, which highlights the need for new automated and efficient approaches to handle the task. Several machine learning-based methods have been proposed and evaluated to standardise nomenclature. However, no studies have considered that RT patient records are distributed across multiple data centres. This paper introduces a method that emulates …

abstract arxiv automated cs.lg data data mining deep learning highlights machine machine learning mining physics.med-ph process type